:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Miles, Christopher E., Webber, Robert J.
Format:	Preprint
Published:	2024
Subjects:	Methodology Numerical Analysis Machine Learning
Online Access:	https://arxiv.org/abs/2406.04653
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multivariate Density Estimation via Variance-Reduced Sketching
by: Peng, Yifan, et al.
Published: (2024)

Latent Autoencoder Ensemble Kalman Filter for Nonlinear Data assimilation
by: Tong, Xin T., et al.
Published: (2026)

Kinetic Langevin Splitting Schemes for Constrained Sampling
by: Chada, Neil K., et al.
Published: (2026)

Regression-aware decompositions
by: Tygert, Mark
Published: (2017)

Parameter Inference based on Gaussian Processes Informed by Nonlinear Partial Differential Equations
by: Li, Zhaohui, et al.
Published: (2022)

Tensor Decomposition with Unaligned Observations
by: Tang, Runshi, et al.
Published: (2024)

Median of Means Sampling for the Keister Function
by: Zhang, Bocheng
Published: (2025)

Numerically robust Gaussian state estimation with singular observation noise
by: Krämer, Nicholas, et al.
Published: (2025)

Stein transport for Bayesian inference
by: Nüsken, Nikolas
Published: (2024)

Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
by: Auddy, Arnab, et al.
Published: (2024)

Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
by: Paulin, Daniel, et al.
Published: (2024)

The Ensemble Epanechnikov Mixture Filter
by: Popov, Andrey A., et al.
Published: (2024)

Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence
by: Tang, Runshi, et al.
Published: (2025)

Second Order Ensemble Langevin Method for Sampling and Inverse Problems
by: Liu, Ziming, et al.
Published: (2022)

Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension and Localization
by: Ghattas, Omar Al, et al.
Published: (2022)

Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
by: Tang, Runshi, et al.
Published: (2023)

Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros
by: López, Oscar, et al.
Published: (2022)

On computing and the complexity of computing higher-order $U$-statistics, exactly
by: Chen, Xingyu, et al.
Published: (2025)

Deep Neural-network Prior for Orbit Recovery from Method of Moments
by: Khoo, Yuehaw, et al.
Published: (2023)

Fast nonparametric spectral density estimation from irregularly sampled data
by: Geoga, Christopher J., et al.
Published: (2025)

Fast Machine-Precision Spectral Likelihoods for Stationary Time Series
by: Geoga, Christopher J.
Published: (2024)

Control of probability flow in Markov chain Monte Carlo -- Nonreversibility and lifting
by: Suwa, Hidemaro, et al.
Published: (2012)

Fast and accurate conditioning for large-scale and online Gaussian process prediction problems
by: Arora, Samanyu, et al.
Published: (2026)

A Correlation-induced Finite Difference Estimator
by: Liang, Guo, et al.
Published: (2024)

A Bayesian Approach to Low-Discrepancy Subset Selection
by: Kirk, Nathan
Published: (2026)

Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows
by: Crucinio, Francesca R., et al.
Published: (2025)

A tutorial on automatic differentiation with complex numbers
by: Krämer, Nicholas
Published: (2024)

Beyond Independence: on Jointly Normal Priors in Bayesian Inversion
by: Nicholson, Ruanui, et al.
Published: (2026)

A Unified Approach to Analysis and Design of Denoising Markov Models
by: Ren, Yinuo, et al.
Published: (2025)

Robust Fuzzy local k-plane clustering with mixture distance of hinge loss and L1 norm
by: Huang, Junjun, et al.
Published: (2026)

Iterative execution of discrete and inverse discrete Fourier transforms with applications for signal denoising via sparsification
by: Frost, H. Robert
Published: (2022)

Denoising deterministic networks using iterative Fourier transforms
by: Frost, H. Robert
Published: (2026)

Persistent-Transient Policy Evaluation for Markov Chains via Minimal Peripheral Quotients
by: Xu, Yang, et al.
Published: (2026)

Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields
by: Weiland, Tim, et al.
Published: (2025)

Stochastic diagonal estimation with adaptive parameter selection
by: Han, Zongyuan, et al.
Published: (2024)

Efficient and Precise Calculation of the Confluent Hypergeometric Function
by: Herschtal, Alan
Published: (2024)

Sparse optimization for estimating the cross-power spectrum in linear inverse models : from theory to the application in brain connectivity
by: Carini, Laura, et al.
Published: (2024)

On the mean-field limit for Stein variational gradient descent: stability and multilevel approximation
by: Weissmann, Simon, et al.
Published: (2024)

The Ensemble Kalman Filter for Dynamic Inverse Problems
by: Weissmann, Simon, et al.
Published: (2024)

Cubature-based uncertainty estimation for nonlinear regression models
by: Bubel, Martin, et al.
Published: (2024)